class_docstr: Used to verify that the exaggeration correction implemented in
  `gradient_descent` is correct.
class_docstr_tok: ["Used","to","verify","that","the","exaggeration","correction","implemented","in","`","gradient_descent","`","is","correct","."]
code: def __init__(self, embedding: TSNEEmbedding) -> None:
      self.embedding = embedding
      # Keep a copy of the unexaggerated affinity matrix
      self.P = self.embedding.affinities.P.copy()
  
file_path: openTSNE/openTSNE/callbacks.py
imports: import logging
  from functools import partial
  import numpy
  from scipy.sparse import csr_matrix
  from openTSNE import kl_divergence
  from openTSNE.tsne import TSNEEmbedding
label_desc: Use image node_id 1 to create a new VerifyExaggerationError object from inherited base classes: Callback with example: obj = VerifyExaggerationError(embedding)